Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm.

PloS one - 1 Jan 2015

Azé Jérôme, Sola Christophe, Zhang Jian, Lafosse-Marin Florian, Yasmin Memona, Siddiqui Rubina, Kremer Kristin, van Soolingen Dick, Refrégier Guislaine

Abstract excerpt

Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen lineages. Mycobacterium tuberculosis complex taxonomy has rapidly evolved in the last 20 years through intensive clinical isolation, advances in sequencing and in the description of fast-evolving loci (CRISPR and MIRU-VNTR). On-line tools to describe new isolates have been set up based on known diversity either on...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Bacterial Typing Techniques

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Genetic

Share to Internet

Share to Machine Learning

Share to Molecular Epidemiology

Share to Mycobacterium tuberculosis

Share to Tuberculosis

Source

Open in PubMed Open full text

Identifiers

PMID: 26154264
DOI: 10.1371/journal.pone.0130912
PMCID: PMC4496040

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm.PMID 26154264Read ↗

A revised SNP-based barcoding scheme for typing Mycobacterium tuberculosis complex isolates.Semantic proximity Read ↗

Typing and classification of non-tuberculous mycobacteria isolatesSemantic proximity Read ↗

MLVA based classification of Mycobacterium tuberculosis complex lineages for a robust phylogeographic snapshot of its worldwide molecular diversity.Semantic proximity Read ↗

TB-Lineage: an online tool for classification and analysis of strains of Mycobacterium tuberculosis complex.Semantic proximity Read ↗

Pathotypr: harmonised MTBC lineage assignment and resistance-associated variant detection for genomic surveillanceSemantic proximity Read ↗

Diagnosis of nontuberculous mycobacterial infections using genomics and artificial intelligence-machine learning approaches: scope, progress and challengesSemantic proximity Read ↗

Data mining of Mycobacterium tuberculosis complex genotyping results using mycobacterial interspersed repetitive units validates the clonal structure of spoligotyping-defined families.Semantic proximity Read ↗

Molecular typing of Mycobacterium tuberculosis: a review of current methods, databases, softwares, and analytical toolsSemantic proximity Read ↗

Whole genome sequencing for tuberculosis disease species identification, lineage determination, and drug resistance detection in Kashgar prefecture, ChinaSemantic proximity Read ↗

Mycobacterium tuberculosis complex genetic diversity: mining the fourth international spoligotyping database (SpolDB4) for classification, population genetics and epidemiologySemantic proximity Read ↗

Consistency of Mycobacterium tuberculosis Complex Spoligotyping between the Membrane-Based Method and In Silico Approach.Semantic proximity Read ↗

Combining comparative genomic analysis with machine learning reveals some promising diagnostic markers to identify five common pathogenic non‐tuberculous mycobacteriaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.